Search Results

Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data.

• Authors : Wang, Ming¹ (AUTHOR) ; Li, Zheng² (AUTHOR); Lu, Jun³ (AUTHOR)

• Source: BMC Medical Research Methodology. 4/8/2024, Vol. 24 Issue 1, p1-13. 13p.

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Accommodating heterogeneous missing data patterns for prostate cancer risk prediction

• Authors : Neumair, Matthias; Kattan, Michael W; Freedland, Stephen J

Subjects: Epidemiology; Public Health; Health Sciences

• Source: BMC Medical Research Methodology. 22(1)

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Joint models for dynamic prediction in localised prostate cancer: a literature review

• Authors : Harry Parr; Emma Hall; Nuria Porta

Subjects: Dynamic prediction models; Prostate cancer; PSA

• Source: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-19 (2022)

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Impact of different unconditional monetary incentives on survey response rates in men with prostate cancer: a 2-arm randomised trial

• Authors : Megan McIntosh; Melissa J. Opozda; Michael O’Callaghan

Subjects: Prostate cancer; Study within a trial; Incentives

• Source: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-8 (2022)

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A scoping review of core outcome sets and their ‘mapping’ onto real-world data using prostate cancer as a case study

• Authors : Michela Meregaglia; Oriana Ciani; Helen Banks

Subjects: Core outcomes set (COS); Core outcome measures in effectiveness trials (COMET); Prostate cancer

• Source: BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-20 (2020)

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Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools

• Authors : Johanna Tolksdorf; Michael W. Kattan; Stephen A. Boorjian

Subjects: Risk prediction; Prostate cancer; Validation

• Source: BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-11 (2019)

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Prostate cancer: net survival and cause-specific survival rates after multiple imputation.

• Authors : Morisot, Adeline¹ ; Bessaoud, Faïza²; Landais, Paul¹

• Source: BMC Medical Research Methodology. Jul2015, Vol. 15, p1-14. 14p. 6 Charts, 4 Graphs.

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Modelling attrition and nonparticipation in a longitudinal study of prostate cancer

• Authors : Samantha Spiers; Evrim Oral; Elizabeth T. H. Fontham

Subjects: Unit nonresponse; Nonresponse bias; Attrition

• Source: BMC Medical Research Methodology, Vol 18, Iss 1, Pp 1-10 (2018)

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Standardisation of information submitted to an endpoint committee for cause of death assignment in a cancer screening trial - lessons learnt from CAP (Cluster randomised triAl of PSA testing for Prostate cancer)

• Authors : Williams, NJ; Hill, EM; Ng, SY

• Source: BMC MEDICAL RESEARCH METHODOLOGY. 15

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Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments

• Authors : Charlotte A. Bolch; Haitao Chu; Stephanie Jarosek

Subjects: Prostate cancer; Survival analysis; Competing risks

• Source: BMC Medical Research Methodology, Vol 17, Iss 1, Pp 1-8 (2017)

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